Machine Unlearning

9 December 2019

Lucas Bourtoule

Varun Chandrasekaran

Christopher A. Choquette-Choo

Papers citing "Machine Unlearning"

50 / 524 papers shown

Title
What makes unlearning hard and what to do about it Kairan Zhao M. Kurmanji George-Octavian Barbulescu Eleni Triantafillou Peter Triantafillou MU 60 17 0 03 Jun 2024
Guaranteeing Data Privacy in Federated Unlearning with Dynamic User Participation Ziyao Liu Yu Jiang Weifeng Jiang Jiale Guo Jun Zhao Kwok-Yan Lam MU FedML 49 6 0 03 Jun 2024
"Forgetting" in Machine Learning and Beyond: A Survey Alyssa Shuang Sha Bernardo Pereira Nunes Armin Haller MU KELM 38 1 0 31 May 2024
Reconstruction Attacks on Machine Unlearning: Simple Models are Vulnerable Martín Bertrán Shuai Tang Michael Kearns Jamie Morgenstern Aaron Roth Zhiwei Steven Wu AAML 34 5 0 30 May 2024
Lifelong Learning and Selective Forgetting via Contrastive Strategy Li Shan Wenzhang Zhou Wei Li Xingyu Ding CLL 31 2 0 28 May 2024
Fast-FedUL: A Training-Free Federated Unlearning with Provable Skew Resilience T. T. Huynh Trong Bang Nguyen Phi Le Nguyen Thanh Tam Nguyen Matthias Weidlich Quoc Viet Hung Nguyen Karl Aberer MU 40 10 0 28 May 2024
Towards Unified Robustness Against Both Backdoor and Adversarial Attacks Zhenxing Niu Yuyao Sun Qiguang Miao Rong Jin Gang Hua AAML 44 6 0 28 May 2024
Cross-Modal Safety Alignment: Is textual unlearning all you need? Trishna Chakraborty Erfan Shayegani Zikui Cai Nael B. Abu-Ghazaleh Ulugbek S. Kamilov Yue Dong A. Roy-Chowdhury Chengyu Song 41 16 0 27 May 2024
Federated Learning with Blockchain-Enhanced Machine Unlearning: A Trustworthy Approach Xuhan Zuo Minghao Wang Tianqing Zhu Lefeng Zhang Shui Yu Wanlei Zhou MU 39 4 0 27 May 2024
Exploring Fairness in Educational Data Mining in the Context of the Right to be Forgotten Wei Qian Aobo Chen Chenxu Zhao Yangyi Li Mengdi Huai MU 34 0 0 27 May 2024
Pruning for Robust Concept Erasing in Diffusion Models Tianyun Yang Juan Cao Chang Xu 35 13 0 26 May 2024
Class Machine Unlearning for Complex Data via Concepts Inference and Data Poisoning Wenhan Chang Tianqing Zhu Heng Xu Wenjian Liu Wanlei Zhou MU 40 3 0 24 May 2024
Unlearning during Learning: An Efficient Federated Machine Unlearning Method Hanlin Gu Gongxi Zhu Jie Zhang Xinyuan Zhao Yuxing Han Lixin Fan Qiang Yang MU 46 7 0 24 May 2024
Editable Concept Bottleneck Models Lijie Hu Chenyang Ren Zhengyu Hu Cheng-Long Wang Di Wang Hui Xiong Jingfeng Zhang Di Wang 34 3 0 24 May 2024
Tighter Privacy Auditing of DP-SGD in the Hidden State Threat Model Tudor Cebere A. Bellet Nicolas Papernot 30 9 0 23 May 2024
Ferrari: Federated Feature Unlearning via Optimizing Feature Sensitivity Hanlin Gu W. Ong Chee Seng Chan Lixin Fan MU 39 7 0 23 May 2024
Unlearning Information Bottleneck: Machine Unlearning of Systematic Patterns and Biases Ling Han Hao Huang Dustin Scheinost Mary-Anne Hartley María Rodríguez Martínez MU 42 0 0 22 May 2024
Safety in Graph Machine Learning: Threats and Safeguards Song Wang Yushun Dong Binchi Zhang Zihan Chen Xingbo Fu Yinhan He Cong Shen Chuxu Zhang Nitesh V. Chawla Wenlin Yao 45 7 0 17 May 2024
Data Selection for Transfer Unlearning N. Sepahvand Vincent Dumoulin Eleni Triantafillou Gintare Karolina Dziugaite MU 42 4 0 16 May 2024
Machine Unlearning: A Comprehensive Survey Weiqi Wang Zhiyi Tian Chenhan Zhang Shui Yu MU AILaw 34 14 0 13 May 2024
Machine Unlearning in Contrastive Learning Zixin Wang Kongyang Chen MU SSL 16 0 0 12 May 2024
Navigating the Future of Federated Recommendation Systems with Foundation Models Zhiwei Li Guodong Long Chunxu Zhang Honglei Zhang Jing Jiang Chengqi Zhang 117 0 0 12 May 2024
SOUL: Unlocking the Power of Second-Order Optimization for LLM Unlearning Jinghan Jia Yihua Zhang Yimeng Zhang Jiancheng Liu Bharat Runwal James Diffenderfer B. Kailkhura Sijia Liu MU 43 35 0 28 Apr 2024
Continual Learning of Large Language Models: A Comprehensive Survey Haizhou Shi Zihao Xu Hengyi Wang Weiyi Qin Wenyuan Wang Yibin Wang Zifeng Wang Sayna Ebrahimi Hao Wang CLL KELM LRM 52 64 0 25 Apr 2024
Guardians of the Quantum GAN Archisman Ghosh Debarshi Kundu Avimita Chatterjee Swaroop Ghosh 63 1 0 24 Apr 2024
Debiasing Machine Unlearning with Counterfactual Examples Ziheng Chen Jia Wang Jun Zhuang Abbavaram Gowtham Reddy Fabrizio Silvestri Jin Huang Kaushiki Nag Kun Kuang Xin Ning Gabriele Tolomei MU CML 35 3 0 24 Apr 2024
Rethinking LLM Memorization through the Lens of Adversarial Compression Avi Schwarzschild Zhili Feng Pratyush Maini Zachary Chase Lipton J. Zico Kolter 47 42 0 23 Apr 2024
Ungeneralizable Examples Jing Ye Xinchao Wang 38 4 0 22 Apr 2024
Distilled Datamodel with Reverse Gradient Matching Jingwen Ye Ruonan Yu Songhua Liu Xinchao Wang DD 41 3 0 22 Apr 2024
Machine Unlearning via Null Space Calibration Huiqiang Chen Tianqing Zhu Xin Yu Wanlei Zhou 41 6 0 21 Apr 2024
Privacy-Preserving Debiasing using Data Augmentation and Machine Unlearning Zhixin Pan Emma Andrews Laura Chang Prabhat Mishra MU 46 1 0 19 Apr 2024
Is Retain Set All You Need in Machine Unlearning? Restoring Performance of Unlearned Models with Out-Of-Distribution Images Jacopo Bonato Marco Cotogni Luigi Sabetta MU CLL 42 4 0 19 Apr 2024
TrajDeleter: Enabling Trajectory Forgetting in Offline Reinforcement Learning Agents Chen Gong Kecen Li Jin Yao Tianhao Wang OnRL 36 0 0 18 Apr 2024
LMEraser: Large Model Unlearning through Adaptive Prompt Tuning Jie Xu Zihan Wu Cong Wang Xiaohua Jia MU 25 1 0 17 Apr 2024
Privacy-Preserving Federated Unlearning with Certified Client Removal Ziyao Liu Huanyi Ye Yu Jiang Jiyuan Shen Jiale Guo Ivan Tjuawinata Kwok-Yan Lam MU 35 5 0 15 Apr 2024
Eraser: Jailbreaking Defense in Large Language Models via Unlearning Harmful Knowledge Weikai Lu Ziqian Zeng Jianwei Wang Zhengdong Lu Zelin Chen Huiping Zhuang Cen Chen MU AAML KELM 35 25 0 08 Apr 2024
Negative Preference Optimization: From Catastrophic Collapse to Effective Unlearning Ruiqi Zhang Licong Lin Yu Bai Song Mei MU 69 131 0 08 Apr 2024
Learn What You Want to Unlearn: Unlearning Inversion Attacks against Machine Unlearning Hongsheng Hu Shuo Wang Tian Dong Minhui Xue AAML 35 18 0 04 Apr 2024
Goldfish: An Efficient Federated Unlearning Framework Houzhe Wang Xiaojie Zhu Chi Chen Paulo Esteves-Verissimo FedML MU 39 3 0 04 Apr 2024
Machine Unlearning for Traditional Models and Large Language Models: A Short Survey Yi Xu AILaw MU 40 3 0 01 Apr 2024
Label-Agnostic Forgetting: A Supervision-Free Unlearning in Deep Models Shao Shen Chenhao Zhang Yawen Zhao Alina Bialkowski Tony Weitong Chen Miao Xu MU 47 12 0 31 Mar 2024
CPR: Retrieval Augmented Generation for Copyright Protection Aditya Golatkar Alessandro Achille L. Zancato Yu-Xiang Wang Ashwin Swaminathan Stefano Soatto DiffM 29 16 0 27 Mar 2024
Differentially Private Next-Token Prediction of Large Language Models James Flemings Meisam Razaviyayn Murali Annavaram 36 6 0 22 Mar 2024
DP-RDM: Adapting Diffusion Models to Private Domains Without Fine-Tuning Jonathan Lebensold Maziar Sanjabi Pietro Astolfi Adriana Romero Soriano Kamalika Chaudhuri Mike Rabbat Chuan Guo DiffM 34 4 0 21 Mar 2024
A Unified and General Framework for Continual Learning Zhenyi Wang Yan Li Li Shen Heng-Chiao Huang CLL 32 18 0 20 Mar 2024
Threats, Attacks, and Defenses in Machine Unlearning: A Survey Ziyao Liu Huanyi Ye Chen Chen Yongsen Zheng K. Lam AAML MU 35 28 0 20 Mar 2024
Towards Lifecycle Unlearning Commitment Management: Measuring Sample-level Approximate Unlearning Completeness Cheng-Long Wang Qi Li Zihang Xiang Yinzhi Cao Di Wang MU 29 1 0 19 Mar 2024
Continual Forgetting for Pre-trained Vision Models Hongbo Zhao Bolin Ni Haochen Wang Junsong Fan Fei Zhu Yuxi Wang Yuntao Chen Gaofeng Meng Zhaoxiang Zhang MU VLM 73 11 0 18 Mar 2024
Ethos: Rectifying Language Models in Orthogonal Parameter Space Lei Gao Yue Niu Tingting Tang A. Avestimehr Murali Annavaram MU 40 10 0 13 Mar 2024
Second-Order Information Matters: Revisiting Machine Unlearning for Large Language Models Kang Gu Md. Rafi Ur Rashid Najrin Sultana Shagufta Mehnaz MU 42 5 0 13 Mar 2024